{"id":"W6924651962","doi":"10.15468/dl.cx5brk","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001042824,0.001947897,0.001552917,0.005241454,0.0009398239,0.002514888,0.002790168,0.002030817,0.1515208],"category_scores_gemma":[0.006031166,0.0009107817,0.001205064,0.009498432,0.0004440196,0.002209122,0.002525012,0.001904693,0.2036098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001629385,"about_ca_system_score_gemma":0.002343169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0213705,"about_ca_topic_score_gemma":0.03432813,"domain_scores_codex":[0.9988907,0.0001551991,0.0001512776,0.0003768003,0.0002406508,0.0001853873],"domain_scores_gemma":[0.9974039,0.0007049221,0.0002644875,0.0007005712,0.0006219373,0.000304154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003521626,0.00001188301,0.0004056852,0.0006539956,0.0000182959,0.0000159006,0.00002325148,0.0001359189,0.000136816,0.0004140094,0.9966535,0.001495476],"study_design_scores_gemma":[0.00007801362,0.000008935144,0.002010556,0.0002078612,0.00001643497,0.00003895839,0.00006269168,0.0001388595,0.0002012373,0.0007794691,0.9964384,0.00001859841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003984365,0.00002797673,0.00003877478,0.0000330376,0.00001075568,0.00000517631,0.9989335,0.0003324124,0.0005784683],"genre_scores_gemma":[0.0001581645,0.00003404863,0.0001704387,0.00004625687,0.000003243527,0.00003610042,0.9990144,0.0001219081,0.0004154948],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8484792,"threshold_uncertainty_score":0.5068876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}